Adobe, Inc.

Sumit Dhingra

Vineet Batra

Ankit Phogat

Nathan Aaron Carr

Praveen Kumar Dhanuka

Matthew David Fisher

Xin Sun

Siddhartha Chaudhuri

Milos Hasan

Deepali Aneja

Souymodip Chakraborty

Ashish Jindal

Qingnan Zhou

Sumit Chaturvedi

Recoloring a target graphic using color palettes generated using a stochastic color mapping process. One method of recoloring a target graphic using the stochastic color mapping process includes obtaining a target graphic to be recolored and a source color palette defining source colors for recoloring the target graphic. A target color set of target colors is extracted from the target graphic. The method includes computing a mapping to map source colors of a source color palette to target colors extracted from a target color set of the target graphic based on a transition probability. A destination color palette of destination colors is determined based on the mapping. The target graphic is modified by recoloring at least one object in the target graphic with a destination color from the destination color palette.

Stochastic color mapping to generate multiple color palette variations

In implementations of systems for visualizing vector graphics in three-dimensional scenes, a computing device implements a projection system to receive input data describing a digital image depicting a three-dimensional scene and a vector graphic to be projected into the three-dimensional scene. The projection system generates a depth image by estimating disparity values for pixels of the digital image. A three-dimensional mesh is computed that approximates the three-dimensional scene based on the depth image. The projection system projects the vector graphic onto the digital image by transforming the vector graphic based on the three-dimensional mesh.

Visualizing vector graphics in three-dimensional scenes

Embodiments are disclosed for generating multiple color theme variations from an input image using learned color distributions. A method of generating multiple color theme variations from an input image using learned color distributions includes obtaining, by a user interface manager, an input image, determining, by a color extraction manager, one or more color priors based on the input image, generating, by a color distribution modeling network, a plurality of color theme variations based on the one or more color priors, ranking, by a color theme evaluation network, the plurality of color theme variations, and generating, by a recolor manager, a plurality of recolored output images using the plurality of color theme variations.

Multimodal color variations using learned color distributions

This disclosure describes one or more implementations of systems, non-transitory computer-readable media, and methods that apply a resolution independent, vector-based decal on a 3D object. In one or more implementations, the disclosed systems apply piecewise non-linear transformation on an input decal vector geometry to align the decal with a surface of an underlying 3D object. To apply a vector-based decal on a 3D object, in certain embodiments, the disclosed systems parameterize a 3D mesh of the 3D object to create a mesh map. Moreover, in some instances, the disclosed systems determine intersections between edges of a decal geometry and edges of the mesh map to add vertices to the decal geometry at the intersections. Additionally, in some implementations, the disclosed systems lift and project vertices of the decal geometry into three dimensions to align the vertices with faces of the 3D mesh of the 3D object.

Applying vector-based decals on three-dimensional objects

Embodiments are disclosed for performing 3-D vectorization. The method includes obtaining a three-dimensional rendered image and a camera position. The method further includes obtaining a triangle mesh representing the three-dimensional rendered image. The method further involves creating a reduced triangle mesh by removing one or more triangles from the triangle mesh. The method further involves subdividing each triangle of the reduced triangle mesh into one or more subdivided triangles. The method further involves performing a mapping of each pixel of the three-dimensional rendered image to the reduced triangle mesh. The method further involves assigning a color value to each vertex of the reduced triangle mesh. The method further involves sorting each triangle of the reduced triangle mesh using a depth value of each triangle. The method further involves generating a two-dimensional triangle mesh using the sorted triangles of the reduced triangle mesh.

Resolution independent 3-D vectorization for graphic designs

A computer-implemented method including receiving an input image at a first image stage and receiving a request to generate a plurality of variations of the input image at a second image stage. The method including generating, using an auto-regressive generative deep learning model, the plurality of variations of the input image at the second image stage and outputting the plurality of variations of the input image at the second image stage.

Image-to-image translation using an auto-regressive generative model

Digital object surface inflation techniques are described as implemented by an image processing system to generate an inflated digital object, automatically and without user intervention, from a two-dimensional digital object in a digital image. In one example, the geometry inflation system generates the inflated digital object based on an outer boundary and in this way overcomes challenges of conventional skeleton based techniques. In another example, rules are configured to guide a geometry inflation system to generate the inflated digital object.

Digital object surface inflation

The present disclosure relates to systems, methods, and non-transitory computer readable media for efficiently and flexibly extracting reusable geometric assets from an arbitrary arrangement of vector geometry within a digital image. For example, the disclosed systems can organize vector geometry of a digital image by structuring geometric objects into groups (e.g., clusters). The disclosed systems can assign mnemonics to these groups and transform the digital image into a mnemonic sequence. Moreover, the disclosed systems can utilize various computer-implemented algorithms to identify and filter patterns within the mnemonic sequence. The disclosed systems can then generate pattern scores for these patterns and identify which patterns of geometric objects to include within a set of reusable geometric assets.

Extracting and organizing reusable assets from an arbitrary arrangement of vector geometry

A multi-layer light source includes an emissive layer and a textured lighting gel layer, the lighting gel layer being situated between the emissive layer and a 2D canvas or a 3D object. User inputs controlling the multi-layer light source are received, these user inputs being provided with the user interacting with the 2D canvas without switching to editing in 3D space. The multi-layer light source is configured based on the user inputs and, based on the configuration, emission of light rays from the multi-layer light source is determined. Areas of shadows cast by 3D objects are also determined. An image generation system determines, a color of a location (e.g., a pixel) on the 2D canvas or the 3D object that a light ray intersects based on the color that is in the lighting gel layer that the light ray passes through.

Multi-layer lighting source with textured lighting gel layer

A technique is described for clustering graphics objects in a graphic artwork based on affine variance. Geometry data associated with an input set of graphics objects can be processed to identify pairs of graphics objects that are affine variants of each other. The identified affine variants can then be clustered into one or more affine groups. Similar graphics objects in a given affine group can then be represented using a base geometry and a corresponding transformation matrix. Accordingly, the overall geometric complexity of the graphic artwork can be simplified thereby providing various benefits such as reducing file size and improving rendering performance.

Growing community of inventors

Delhi, India

Sumit Dhingra